Tiny ML

 On-device machine learning and "edge intelligence" or "tiny machine learning" (#TinyML) architectures are the key topics of this book. Focused and individualized modeling on limited, fixed hardware is often possible through the "lite" version of machine learning libraries like #TensorFlow or #PyTorch. 

The authors provide an excellent overview of application design constraints, software engineering methods, and areas of application. Machine learning modeling and training procedures are discussed in combination with the distributed nature of the applications, network synchronization, and multi-client efficiency considerations. The chapter on neural networks includes a valuable discussion on tiny transformers, #hyperparameter architecture, and #GPU platform implementation. 

#machinelearning #architecture #neuralnetworks #ai #edgecomputing #edgeai #tinyml #tinytransformer